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Salary
$219k – $263k per year
Location
In office (New York)
Seniority
Senior · 8+ years exp
Visa
H-1B filings in 12 months: 12 · for this role: 2 · green card filings: 3
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Aug 29, 2026.

Overview
Company
Impact
Profile match
Hinge is a New York dating technology company founded in 2012 whose product is designed to be deleted. Its prompt-based profiles and recommendation models focus on relationships rather than volume matching. The company belongs to a larger dating group but runs its own product organisation in New York.

Join Hinge, a leading dating app, as a Senior Backend Engineering Manager. In this role, you will lead a team of engineers to build and optimize our recommendation engine, a central part of our product. You will collaborate with machine learning engineers, product managers, data scientists, and data engineers to create systems that balance personalization, fairness, and user experience at scale. You will also own the technical roadmap for the recommender platform and drive architecture decisions for recommendation and search infrastructure.

Missions

  • Conduire la stratégie et l'exécution de l'infrastructure et des fonctionnalités qui alimentent les recommandations.
  • Collaborer avec des équipes interfonctionnelles pour définir et livrer des fonctionnalités de recommandation orientées produit.
  • Diriger, encadrer et développer une équipe d'ingénieurs construisant des services de recommandation.

Profil recherché

- Experience with recommendation systems, search ranking, personalization, or adjacent ML-serving infrastructure

- Track record of hiring, developing, and retaining high-performing engineering teams

- Ability to communicate technical trade-offs clearly to both engineers and non-technical stakeholders

- Strong backend systems expertise - you've built or operated large-scale distributed systems in production

- Familiarity with data processing architectures, feature stores, and model-serving technologies (e.g., Kafka, Spark, ElasticSearch, etc)

- Proficiency in one or more backend languages (ideally Go)

- 8+ years of software engineering experience, with 4+ years in an engineering management role

- Hands-on experience with cloud infrastructure (AWS, GCP, or Azure) and container orchestration (Kubernetes)

- Experience with ML frameworks (TensorFlow, PyTorch) or MLOps tooling (MLflow, Kubeflow, Airflow)

- Background in A/B testing and experimentation platforms

- Prior work at scale (millions of daily active users or equivalent throughput)

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